↓ Skip to main content

Involvement of older people in the development of fall detection systems: a scoping review

Overview of attention for article published in BMC Geriatrics, February 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
95 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Involvement of older people in the development of fall detection systems: a scoping review
Published in
BMC Geriatrics, February 2016
DOI 10.1186/s12877-016-0216-3
Pubmed ID
Authors

Friederike JS Thilo, Barbara Hürlimann, Sabine Hahn, Selina Bilger, Jos MGA Schols, Ruud JG Halfens

Abstract

The involvement of users is recommended in the development of health related technologies, in order to address their needs and preferences and to improve the daily usage of these technologies. The objective of this literature review was to identify the nature and extent of research involving older people in the development of fall detection systems. A scoping review according to the framework of Arksey and O'Malley was carried out. A key term search was employed in eight relevant databases. Included articles were summarized using a predetermined charting form and subsequently thematically analysed. A total of 53 articles was included. In 49 of the 53 articles, older people were involved in the design and/or testing stages, and in 4 of 53 articles, they were involved in the conceptual or market deployment stages. In 38 of the 53 articles, the main focus of the involvement of older people was technical aspects. In 15 of the 53 articles, the perspectives of the elderly related to the fall detection system under development were determined using focus groups, single interviews or questionnaires. Until presently, involvement of older people in the development of fall detection systems has focused mainly on technical aspects. Little attention has been given to the specific needs and views of older people in the context of fall detection system development and usage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Researcher 14 15%
Student > Master 11 12%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 18 19%
Unknown 24 25%
Readers by discipline Count As %
Engineering 18 19%
Nursing and Health Professions 14 15%
Computer Science 11 12%
Medicine and Dentistry 7 7%
Agricultural and Biological Sciences 3 3%
Other 13 14%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2016.
All research outputs
#12,753,746
of 22,852,911 outputs
Outputs from BMC Geriatrics
#1,836
of 3,190 outputs
Outputs of similar age
#178,977
of 400,586 outputs
Outputs of similar age from BMC Geriatrics
#32
of 61 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,190 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.